{"id":"https://openalex.org/W3044746203","doi":"https://doi.org/10.1109/jiot.2020.3010853","title":"Flow Experience Detection and Analysis for Game Users by Wearable-Devices-Based Physiological Responses Capture","display_name":"Flow Experience Detection and Analysis for Game Users by Wearable-Devices-Based Physiological Responses Capture","publication_year":2020,"publication_date":"2020-07-21","ids":{"openalex":"https://openalex.org/W3044746203","doi":"https://doi.org/10.1109/jiot.2020.3010853","mag":"3044746203"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2020.3010853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3010853","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058080093","display_name":"Xiaozhen Ye","orcid":"https://orcid.org/0000-0001-5332-1797"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhen Ye","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","Shunde Graduate School, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5332-1797","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790255","display_name":"Huansheng Ning","orcid":"https://orcid.org/0000-0001-6413-193X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huansheng Ning","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","Shunde Graduate School, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6413-193X","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068446820","display_name":"Per Backlund","orcid":"https://orcid.org/0000-0001-9287-9507"},"institutions":[{"id":"https://openalex.org/I205158640","display_name":"University of Sk\u00f6vde","ror":"https://ror.org/051mrsz47","country_code":"SE","type":"education","lineage":["https://openalex.org/I205158640"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Per Backlund","raw_affiliation_strings":["School of Informatics, University of Sk\u00f6vde, Sk\u00f6vde, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-9287-9507","affiliations":[{"raw_affiliation_string":"School of Informatics, University of Sk\u00f6vde, Sk\u00f6vde, Sweden","institution_ids":["https://openalex.org/I205158640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057741133","display_name":"Jianguo Ding","orcid":"https://orcid.org/0000-0002-8927-0968"},"institutions":[{"id":"https://openalex.org/I205158640","display_name":"University of Sk\u00f6vde","ror":"https://ror.org/051mrsz47","country_code":"SE","type":"education","lineage":["https://openalex.org/I205158640"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jianguo Ding","raw_affiliation_strings":["School of Informatics, University of Sk\u00f6vde, Sk\u00f6vde, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Sk\u00f6vde, Sk\u00f6vde, Sweden","institution_ids":["https://openalex.org/I205158640"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8975,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85685165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"3","first_page":"1373","last_page":"1387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13353","display_name":"Flow Experience in Various Fields","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13353","display_name":"Flow Experience in Various Fields","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13219","display_name":"Mind wandering and attention","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9399999976158142,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8228150010108948},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6166556477546692},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5829979181289673},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5057146549224854},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.46527478098869324},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.46254488825798035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44781047105789185},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4396211802959442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43414872884750366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4169512689113617},{"id":"https://openalex.org/keywords/potential-game","display_name":"Potential game","score":0.4109003245830536},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.1291911005973816},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08128368854522705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8228150010108948},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6166556477546692},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5829979181289673},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5057146549224854},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.46527478098869324},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.46254488825798035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44781047105789185},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4396211802959442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43414872884750366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4169512689113617},{"id":"https://openalex.org/C2778079155","wikidata":"https://www.wikidata.org/wiki/Q288500","display_name":"Potential game","level":3,"score":0.4109003245830536},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.1291911005973816},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08128368854522705},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2020.3010853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2020.3010853","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2695452631","display_name":"\u57fa\u4e8e\u4f20\u611f\u5668\u548c\u6982\u7387\u8bed\u4e49\u65b9\u6cd5\u7684\u5ba4\u5185\u65e5\u5e38\u6d3b\u52a8\u8bc6\u522b\u7814\u7a76","funder_award_id":"61872038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W137305461","https://openalex.org/W649741917","https://openalex.org/W1594278800","https://openalex.org/W1767680514","https://openalex.org/W1923491321","https://openalex.org/W1941711934","https://openalex.org/W1987162308","https://openalex.org/W1988729248","https://openalex.org/W1990729157","https://openalex.org/W2013935366","https://openalex.org/W2063821783","https://openalex.org/W2084397606","https://openalex.org/W2096438128","https://openalex.org/W2108631245","https://openalex.org/W2117239512","https://openalex.org/W2125808320","https://openalex.org/W2126707560","https://openalex.org/W2140205964","https://openalex.org/W2158378323","https://openalex.org/W2160429488","https://openalex.org/W2186644980","https://openalex.org/W2562661769","https://openalex.org/W2789972732","https://openalex.org/W4237844050","https://openalex.org/W4293872590"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W4250401876","https://openalex.org/W2514492205","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2528680939"],"abstract_inverted_index":{"Relevant":[0],"research":[1],"has":[2],"shown":[3],"the":[4,8,19,24,38,42,46,62,73,90,99,110,129,152,155,165,169,178,189,194,197,202],"potential":[5,203],"to":[6,54,108,121],"understand":[7],"game":[9,133],"user":[10],"experience":[11,131],"(GUX)":[12],"more":[13],"accurately":[14],"and":[15,31,35,41,78,98,119,148,161,187],"reliably":[16],"by":[17,84],"measuring":[18],"user\u2019s":[20],"psychophysiological":[21],"responses.":[22],"However,":[23],"current":[25],"studies":[26],"are":[27],"still":[28],"very":[29],"scarce":[30],"limited":[32],"in":[33,57,184],"scope":[34],"depth.":[36],"Besides,":[37],"low-detection":[39],"accuracy":[40],"common":[43],"use":[44],"of":[45,132,145,154,181,196,204,209],"professional":[47],"physiological":[48,70,185],"signal":[49],"apparatus":[50],"make":[51],"it":[52],"difficult":[53],"be":[55,136],"applied":[56,120],"practice.":[58],"This":[59],"article":[60],"analyzes":[61],"GUX,":[63],"particularly":[64],"flow":[65,111,130,210],"experience,":[66],"based":[67],"on":[68,89],"users\u2019":[69],"responses,":[71],"including":[72],"galvanic":[74],"skin":[75],"response":[76],"(GSR)":[77],"heart":[79],"rate":[80],"(HR)":[81],"signals,":[82],"captured":[83],"low-cost":[85],"wearable":[86],"devices.":[87],"Based":[88],"collected":[91],"data":[92,101,199],"sets":[93],"regarding":[94],"two":[95,115],"test":[96,167],"games":[97],"mixed":[100,198],"set,":[102],"several":[103],"classification":[104,123,147,150,190,207],"models":[105],"were":[106,117,158],"constructed":[107],"detect":[109],"state":[112],"automatically.":[113],"Hereinto,":[114],"strategies":[116,157],"proposed":[118,156],"improve":[122,188],"performance.":[124],"The":[125,142],"results":[126,171,195],"demonstrated":[127],"that":[128,173],"users":[134],"could":[135,175],"effectively":[137],"classified":[138],"from":[139],"other":[140],"experiences.":[141],"best":[143],"accuracies":[144],"two-way":[146],"three-way":[149],"under":[151],"support":[153],"over":[159],"90%":[160],"80%,":[162],"respectively.":[163],"Specifically,":[164],"comparison":[166],"with":[168],"existing":[170],"showed":[172],"Strategy1":[174],"significantly":[176],"reduce":[177],"negative":[179],"interference":[180],"individual":[182],"differences":[183],"signals":[186],"accuracy.":[191],"In":[192],"addition,":[193],"set":[200],"identified":[201],"a":[205],"general":[206],"model":[208],"experience.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
